Interaction between <i>Diplodia pinea</i> or <i>Diplodia scrobiculata</i> and fungal endophytes isolated from pine shoots
Bibliographic record
Abstract
Four endophytes isolated from healthy shoots of adult red pine ( Pinus resinosa Aiton) or jack pine ( Pinus banksiana Lamb.) trees were tested as potential biocontrol agents of the conifer shoot blight and canker pathogens Diplodia pinea (Desmaz.) J. Kickx fil. and Diplodia scrobiculata J. de Wet, B. Slippers & M.J. Wingfield. The effect of the endophytes on the germination of Diplodia species conidia and on the symptom severity caused by these pathogens on P. banksiana seedlings under greenhouse conditions was evaluated. Aggressiveness of each organism also was determined by means of single inoculations on jack pine seedlings. The results indicated that the endophyte Trichoderma atroviride P. Karst. showed a clear antagonism to Diplodia species. The culture filtrate of this fungus was able to reduce spore germination of D. scrobiculata. Furthermore, it was able to inhibit the D. pinea invasion when both organisms were inoculated in the same seedling. The observed reduction in the symptom severity on jack pine seedlings might be due to parasitism and (or) production of inhibitory compounds. Therefore, T. atroviride might deserve further investigations for its use as biocontrol agent against D. pinea.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".